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Superpumped

Skyflow demo for ride sharing application


Description

Creates a Python, REST, HTML5/JS demo application Demonstrating working with

ride table

Ride table has entry for each ride booked via superpumped application Each ride has a driver, a passenger, country, state, zip code (ride start) and other details Each ride has 2 boolean flags

Active

Indicate the ride is currently active, not completed. Only the completed rides are made available for analytics users

Flagged

Indicate passenger or driver has raised issue with the ride and support personnel based on their assigned country and state should get involved in rectifying the raised issue. The support personnel get access to flagged rides and could get access to masked, redacted data such as 1. passenger and driver contact information 2. Context based access to passenger and/or driver table data for temporary basis

Features

Support (Country US, State CA)

Access only to Flagged rides Token based access to specific flagged ride for driver and passenger PII (limited set)

Analytics (Country US)

Access only to non-active rides, or completed rides Reporting functionality for group by zip code, driver id, passenger id

Create rides

Simulate new rides being booked, imported through customer data pipeline Random entries for active, flagged Random picking for driver id and passenger id

Readacted raw data access (only for PoC demo)

Driver data

Passenger data

Ride data

Installation

Requirements

  • Python 3.7.0 and above

Configuration

The package can be installed using pip:

pip install skyflow

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skyflow demo superpumped

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